iArunava/Malaria-Detection-using-Keras
Malaria Detection using Deep Learning from Images made available publicly from NIH
This helps medical professionals or researchers quickly screen blood smear images for malaria. You input an image of a blood cell, and it tells you if the cell is 'Parasitized' (infected with malaria) or 'Uninfected'. This tool is for pathologists, lab technicians, or medical researchers needing a fast, initial assessment of blood samples.
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Use this if you need an automated system to classify blood cell images for the presence of malaria parasites.
Not ideal if you require a certified diagnostic tool for clinical use without human oversight or extensive validation.
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Language
Python
License
MIT
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Last pushed
Dec 21, 2018
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